By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story.
Data Analysis and Visualization
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Data Analysis and Visualization
This course is part of Data-Driven Decision Making (DDDM) Specialization
Instructors: Peter Baumgartner
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179 reviews
Beginner level
Recommended experience
Flexible schedule
1 week at 10 hours a week
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What you'll learn
Identify stakeholders and key components imperative to an analytics project plan
Name strengths and weaknesses of different analysis and visualization tools
Visually identify, monitor, and remove process variation
Explain how to create a compelling data story
Skills you'll gain
- Analysis
- Tableau Software
- Process Analysis
- Data-Driven Decision-Making
- Data Presentation
- Data Analysis Software
- Statistical Visualization
- Data Storytelling
- Data Analysis
- Statistical Analysis
- Data Visualization Software
- Data Cleansing
- Business Intelligence
- Data Literacy
- Business Analytics
- Data Quality
- Statistical Process Controls
- Process Capability
- Data Visualization
Tools you'll learn
Details to know
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Taught in English
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This course is part of the Data-Driven Decision Making (DDDM) Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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BA
Reviewed on Jun 12, 2022
Awesome feeling! I am grateful Coursera. Thank you enoumously.
OM
Reviewed on Jul 11, 2022
A very educative course indeed. Thanks to Coursera and its multiple partners who made this possible. lam forever grateful for being afforded such an opportunity. Thanks to the course facilitators.
JH
Reviewed on Nov 25, 2024
A great course indeed. Increased my knowledge of how to analyze data and the tools to use for the analyses.
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